Compressed Sensing Radial Sampling MRI of Prostate Perfusion: Utility for Detection of Prostate Cancer

Winkel, David; Heye, Tobias; Benz, Matthias; Glessgen, Carl G; Wetterauer, Christian; Bubendorf, Lukas; Block, Tobias; Boll, Daniel T.

doi:10.1148/radiol.2018180556

Cited by 33 publications

(27 citation statements)

References 17 publications

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“…Therefore, we had to limit our systematic evaluation to image quality features, so the influence of dynamic parameters such as curve analysis remains unclear. Following the positive results of Winkel et al [ 8 ] for prostate cancer, further studies to evaluate the impact of an improved temporal resolution of only 2.5 s are also encouraged. Third, the availability of the GRASP technique is still limited today.…”

Section: Discussionmentioning

confidence: 99%

“…Voxel size was adapted to the institutional T1-weighted fat-saturated reference sequence after contrast injection (0.94 × 0.94 × 3.00 mm), which is comparable with datasets in the literature [ 8 ]. The inline-image reconstruction technique provides one series (E) of averaged contrast information over the entire acquisition duration (STATIC, Siemens Healthcare GmbH) and a stack of series for every point in time of the dynamics (135 series in one stack, A).…”

Section: Methodsmentioning

confidence: 99%

“…Winkel et al showed that CS radial sampling perfusion MRI is able to improve diagnostic accuracy in prostate cancer when combined with diffusion-weighted imaging sequences [ 8 ]. In addition, Feng et al in their conceptional study using iterative golden-angle radial sparse parallel (GRASP) MRI proved a high level of clinical performance and flexibility because of ruggedness to motion by simultaneous acquisition of high spatial and temporal resolution [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

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Achieving high spatial and temporal resolution with perfusion MRI in the head and neck region using golden-angle radial sampling

et al. 2020

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Objectives Conventional perfusion-weighted MRI sequences often provide poor spatial or temporal resolution. We aimed to overcome this problem in head and neck protocols using a golden-angle radial sparse parallel (GRASP) sequence. Methods We prospectively included 58 patients for examination on a 3.0-T MRI using a study protocol. GRASP (A) was applied to a volumetric interpolated breath-hold examination (VIBE) with 135 reconstructed pictures and high temporal (2.5 s) and spatial resolution (0.94 × 0.94 × 3.00 mm). Additional sequences of matching temporal resolution (B: 2.5 s, 1.88 × 1.88 × 3.00 mm), with a compromise between temporal and spatial resolution (C: 7.0 s, 1.30 × 1.30 × 3.00 mm) and with matching spatial resolution (D: 145 s, 0.94 × 0.94 × 3.00 mm), were subsequently without GRASP. Instant inline-image reconstructions (E) provided one additional series of averaged contrast information throughout the entire acquisition duration of A. Overall diagnostic image quality, edge sharpness and contrast of soft tissues, vessels and lesions were subjectively rated using 5-point Likert scales. Objective image quality was measured as contrast-to-noise ratio in D and E. Results Overall, the anatomic and pathologic image quality was substantially better with the GRASP sequence for the temporally (A/B/C, all p < 0.001) and spatially resolved comparisons (D/E, all p < 0.002 except lesion edge sharpness with p = 0.291). Image artefacts were also less likely to occur with GRASP. Differences in motion, aliasing and truncation were mainly significant, but pulsation and fat suppression were comparable. In addition, the contrast-to-noise ratio of E was significantly better than that of D (pD-E < 0.001). Conclusions High temporal and spatial resolution can be obtained synchronously using a GRASP-VIBE technique for perfusion evaluation in head and neck MRI. Key Points • Golden-angle radial sparse parallel (GRASP) sampling allows for temporally resolved dynamic acquisitions with a very high image quality. • Very low-contrast structures in the head and neck region can benefit from using the GRASP sequence. • Inline-image reconstruction of dynamic and static series from one single acquisition can replace the conventional combination of two acquisitions, thereby saving examination time.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Achieving high spatial and temporal resolution with perfusion MRI in the head and neck region using golden-angle radial sampling

et al. 2020

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“…This signal enhancement of perfusion can be quantified with semi-quantitative analysis [ 7 , 8 ]. Semi-quantitative parameters can be extracted and calculated from the signal intensity curve [ 9 , 10 ]. The signal intensity curve reveals several parameters, including arrival time (AT), time to peak (TTP), wash-in slope (W-in), wash-out slope (W-out), peak enhancement intensity (PEI), and initial area under the 60-sec curve (iAUC).…”

Section: Introductionmentioning

confidence: 99%

Dynamic Contrast-Enhanced MRI of Prostate Lesions of Simultaneous [68Ga]Ga-PSMA-11 PET/MRI: Comparison between Intraprostatic Lesions and Correlation between Perfusion Parameters

Zhao

Kader

Mangarova

et al. 2021

Cancers

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We aimed to retrospectively compare the perfusion parameters measured from dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) of prostate benign lesions and malignant lesions to determine the relationship between perfusion parameters. DCE-MRI was performed in patients with PCa who underwent simultaneous [68Ga]Ga-prostate-specific membrane antigen (PSMA)-11 positron emission tomography (PET)/MRI. Six perfusion parameters (arrival time (AT), time to peak (TTP), wash-in slope (W-in), wash-out slope (W-out), peak enhancement intensity (PEI), and initial area under the 60-s curve (iAUC)), and a semi-quantitative parameter, standardized uptake values maximum (SUVmax) were calculated by placing regions of interest in the largest area of the lesions. The DCE-MRI parameters between prostate benign and malignant lesions were compared. The DCE-MRI parameters in both the benign and malignant lesions subgroup with SUVmax ≤ 3.0 and SUVmax > 3.0 were compared. The correlation of DCE-MRI parameters was investigated. Malignant lesions demonstrated significantly shorter TTP and higher SUVmax than did benign lesions. In the benign and malignant lesions subgroup, perfusion parameters of lesions with SUVmax ≤ 3.0 show no significant difference to those with SUVmax > 3.0. DCE-MRI perfusion parameters show a close correlation with each other. DCE-MRI parameters reflect the perfusion characteristics of intraprostatic lesions with malignant lesions, demonstrating significantly shorter TTP. There is a moderate to strong correlation between DCE-MRI parameters. Semi-quantitative analysis reflects that malignant lesions show a significantly higher SUVmax than benign lesions.

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“…Another approach to overcome these difficulties and obtain more accurate results might be the application of more advanced DWI techniques, such as diffusion kurtosis imaging and intravoxel incoherent motion imaging. There is a growing interest in the application of these techniques in prostate cancer detection [29–31]. We hope that they will be implemented in the evaluation of cancer aggressiveness and treatment response.…”

Section: Discussionmentioning

confidence: 99%

The Utility of Diffusion-Weighted Imaging and Perfusion Magnetic Resonance Imaging Parameters for Detecting Clinically Significant Prostate Cancer

et al. 2019

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Introduction To establish the diagnostic performance of the parameters obtained from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging at 3T in discriminating between non-clinically significant prostate cancers (ncsPCa, Gleason score [GS] < 7) and clinically significant prostate cancers (csPCa, GS ≥ 7) in the peripheral zone. Materials and Methods Twenty-six male patients with peripheral zone prostate cancer (PCa) who had undergone 3T multiparametric magnetic resonance imaging (MRI) scan prior to biopsy were included in the study and evaluated retrospectively. The GS was obtained by both standard 12-core transrectal ultrasound guided biopsy and targeted MRI-US fusion biopsy and then confirmed by prostatectomy, if available. For each confirmed tumour focus, DCE-derived quantitative perfusion metrics (Ktrans, Kep, Ve, initial area under the curve [AUC]), the apparent diffusion coefficient (ADC) value, and normalized versions of quantitative metrics were measured and correlated with the GS. Results Ktrans had the highest diagnostic accuracy value of 82% among the DCE-MRI parameters (AUC 0.90), and ADC had the strongest diagnostic accuracy value of 87% among the overall parameters (AUC 0.92). The combination of ADC and Ktrans have higher diagnostic performance with the area under the receiver operating characteristic curve being 0.98 (sensitivity 0.94; specificity 0.89; accuracy 0.92) compared to the individual evaluation of each parameter alone. The GS showed strong negative correlations with ADC (r = −0.72) and normalized ADC (r = −0.69) as well as a significant positive correlation with Ktrans (r = 0.69). Conclusion The combination of Ktrans and ADC and their normalized versions may help differentiate between ncsPCa from csPCa in the peripheral zone.

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Compressed Sensing Radial Sampling MRI of Prostate Perfusion: Utility for Detection of Prostate Cancer

Cited by 33 publications

References 17 publications

Achieving high spatial and temporal resolution with perfusion MRI in the head and neck region using golden-angle radial sampling

Achieving high spatial and temporal resolution with perfusion MRI in the head and neck region using golden-angle radial sampling

Dynamic Contrast-Enhanced MRI of Prostate Lesions of Simultaneous [68Ga]Ga-PSMA-11 PET/MRI: Comparison between Intraprostatic Lesions and Correlation between Perfusion Parameters

The Utility of Diffusion-Weighted Imaging and Perfusion Magnetic Resonance Imaging Parameters for Detecting Clinically Significant Prostate Cancer

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